Assessing cyber‐physical systems to balance maintenance replacement policies and optimise long‐run average costs for aircraft assets

Andreacchio, Marco; Bekrar, Abdelghani; Benmansour, Rachid; Trentesaux, Damien

doi:10.1049/iet-cps.2018.5038

Cited by 3 publications

(2 citation statements)

References 46 publications

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“…It is proved through experiments that only 2.44 W-2.5 W more power consumption is consumed by embedding RFID tags into fixed assets. In the network of WSN nodes fused with electronic tags, the data transmission mainly relies on the WSN network, but the power consumption of the WSN network to transmit data is higher [11]. Çeken et al used RFID tag and sensor fusion so that the RFID electronic tag can sense environmental information; however, the fused RFID tag sensor is only able to communicate with the reader single-hop through RFID technology and cannot join the WSN network, and the communication distance is short [12].…”

Section: Related Workmentioning

confidence: 99%

Optimization of the Intelligent Asset Management System Based on WSN and RFID Technology

Chen¹,

Chen

2022

Journal of Sensors

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With the development of Internet of Things (IoT) technology, especially the promotion of perception layer radio frequency identification (RFID) technology and wireless sensor network (WSN), a new way of thinking is provided for asset management. Applying both to the management technology of assets is an effective way to achieve intelligent asset management. This paper proposes an intelligent network applied to an asset management system based on WSN and RFID technologies. The whole intelligent asset management is divided into four layers according to the functional structure. From the top layer downward, the layers are the management and dispatch center, communication network, intelligent gateway, and data collection layer in order. Meanwhile, the functions and hardware composition of each layer are described. The data acquisition butcher is the sensing terminal of the whole intelligent asset management network. Smart nodes are its key devices to collect RFID data and sensing data to realize the intelligent sensing capability of the assets. The paper uses the MSP430 control chip, MFRC522 RF read/write chip, CC2425 wireless communication chip, temperature sensor, data memory, and voltage regulator chip to design the smart nodes in the system and details the working principle of the smart nodes and the networking process of the system. The newly designed intelligent asset management network can be deployed independently in asset management or can be integrated into the technical design of existing asset management systems. The management scheduling also collects and manages the RFID and sensing information of the area through the data collection layer, which improves the intelligent construction of the assets.

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Section: Related Workmentioning

confidence: 99%

Optimization of the Intelligent Asset Management System Based on WSN and RFID Technology

Chen¹,

Chen

2022

Journal of Sensors

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“…Lifetime prediction can also help with inventory and stock management optimization so that parts for equipment are not kept in storage in excess of required levels, thus taking up space, tying down the resources used to buy the excess spares, and potentially undergoing deterioration in storage. For instance, as revealed in the study by Andreacchio et al (2019), in the aviation industry, the actual cost of aircraft maintenance, at any given time, is typically equivalent to the cost of spares maintained in the stock inventory, which usually translates into a huge stock level to keep and amounts to poor use of resources. LE plans based on advanced analytics methods should be well implemented to help optimize the entire process.…”

Section: Other Requirementsmentioning

confidence: 99%